Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling

N. Naimi, A.K. Skidmore, T.A. Groen, N.A.S. Hamm

Research output: Contribution to journalArticleAcademicpeer-review

100 Citations (Scopus)
17 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling'. Together they form a unique fingerprint.

Mathematics

Agricultural and Biological Sciences

Engineering